Influence_Tracker.py is a script designed to analyze historical texts in Serbo-Croatian. It identifies ideological tropes and linguistic similarities using advanced Natural Language Processing (NLP) techniques, including:
- LDA Topic Modeling for uncovering latent themes.
- Thematic Clustering using TF-IDF and Cosine Similarity.
- Stylometry for textual fingerprinting and authorship analysis.
- Processes texts in Serbo-Croatian.
- Implements LDA (Latent Dirichlet Allocation) for topic modeling.
- Computes TF-IDF scores and applies Cosine Similarity to cluster texts.
- Performs stylometric analysis for detecting textual patterns.
Ensure you have Python 3.10.2 installed, along with the following libraries:
gensim==4.3.3
numpy==1.23.0
spacy-stanza==1.0.4
cyrilic2alphabet (included in the repository)